CN101621705B - Method and apparatus for automatic white balance - Google Patents
Method and apparatus for automatic white balance Download PDFInfo
- Publication number
- CN101621705B CN101621705B CN2009101612574A CN200910161257A CN101621705B CN 101621705 B CN101621705 B CN 101621705B CN 2009101612574 A CN2009101612574 A CN 2009101612574A CN 200910161257 A CN200910161257 A CN 200910161257A CN 101621705 B CN101621705 B CN 101621705B
- Authority
- CN
- China
- Prior art keywords
- white
- light emitting
- color
- pixel
- emitting source
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
- H04N1/6083—Colour correction or control controlled by factors external to the apparatus
- H04N1/6086—Colour correction or control controlled by factors external to the apparatus by scene illuminant, i.e. conditions at the time of picture capture, e.g. flash, optical filter used, evening, cloud, daylight, artificial lighting, white point measurement, colour temperature
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/88—Camera processing pipelines; Components thereof for processing colour signals for colour balance, e.g. white-balance circuits or colour temperature control
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Processing Of Color Television Signals (AREA)
- Color Television Image Signal Generators (AREA)
Abstract
A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.
Description
The division statement
The application is that the application number submitted on March 28th, 2005 is 200510063620.0, denomination of invention is divided an application for the one Chinese patent application of " method of AWB and device "; And requiring U.S. Patent application 10/813,635 as priority, this application was submitted on March 30th, 2004.
Technical field
The present invention relates to AWB (the automatic white balance) mechanism in a kind of image-taking system; The gain that this system uses the AWB algorithm to decide the light emitting source of image and adjust each chrominance channel (color channel) is with red (R), green (G) that obtains equivalence, the numerical value of blue (B).When rgb value equivalence and when reaching white balance, even the white object in the image also is to show white under different light emitting source situation.
Background technology
People's vision system is adapted to pass through guarantees that white object presents white and comes the conversion light emitting source.When white object when the more daylight of blue light ingredient moves to the more incandescence of ruddiness composition, people's vision system can be made adjustment, and comes the composition of balance red, green, blue, no matter to guarantee that white object is in daylight or in incandescence, all to present white.The technology of balance red, green, blue three coloured light compositions is referred to as white balance.Therefore, people's vision system AWB image is to keep white object mobile real white that all appears in dissimilar light sources in the image.Image-taking system uses the AWB algorithm to come anthropomorphic dummy's vision system, thus in dissimilar light sources the real white of white object in the reproduced image.
The intensity of rgb color composition has bigger variation under different illumination conditions, the blue light ingredient in daylight wants many more than the blue light ingredient in the cold white fluorescent in inside (CWF, cool white fluorescent).Table 1 provides colour temperature (color temperature) index of dissimilar light sources.Colour temperature higher like daylight, it has more blue light ingredient, and colour temperature lower like incandescence, then its ruddiness composition is more.
Table 1 color temperature index number
| The light source type | Colour temperature |
| Daylight | 5000-7500K |
| Cold white fluorescent | 4500K |
| U30 (general office lighting light) | 3000K |
| A (incandescence) | 2000K |
In the prior art, a kind of method of AWB is that the supposition entire image needs white balance.This supposition causes when calculating RGB mean value, too much having comprised the rgb value of all pixels in the image.This RGB mean value is used for being adjusted at the color gain of obtaining image.In other words, the color gain quantity that is applied to each chrominance channel is based on the red, green, blue colour component is equaled on the RGB mean value.When the rgb value of all pixels is all involved when being used for calculating RGB mean value, so also comprised the unnecessary influence of high saturation color.When the object of high saturation color got into or leaves a certain scene, its influence can make RGB mean value deflection.The effect of high saturation color in the RGB mean value calculation can finally cause the object color distortion.For example; When red object enters into the scene of red background; Image has a dominant red value; This redness can seriously influence the RGB mean value of this image, and should the contribution of redness in RGB mean value so big, so that the deviation in the gain adjustment can cause the object color distortion.
Disclosed another auto white balance method of prior art is that the color space of all types light source (color space diagram) is defined as single white portion, to attempt to prevent the influence of high saturation color.This method is come the white pixel in the recognition image with the color space, and with the template of the white portion in the color space as white pixel in the detected image.If a certain pixel has the value that falls into white portion, it just is confirmed as white pixel so, and its rgb value can be used for calculating the RGB mean value of color gain adjustment.
The shortcoming that employing has the color space in single white zone is in the calculating of RGB mean value, to have comprised non-white pixel by error.In some cases, the pixel of high saturation color has the attribute of the white pixel of being similar to, and can fall into the white portion of the color space.These non-white pixel can produce opposite effect to the calculating of RGB mean value.For example, in daylight, the high saturation blue pixel has the characteristic of the white pixel of being similar to; When image packets contains the high saturation blue pixel; They can be thought white pixel by mistake, and their rgb value can be included in the calculating of RGB mean value, like this; The RGB mean value that the influence that the high saturation blue pixel is brought can lead to errors, and this RGB mean value is with deciding the gain adjustment.
In addition, above-mentioned method also can not be used for confirming the light emitting source of image, because the single white zone of all types light source does not possess enough information, supports to analyze further, with the light emitting source that obtains to be equal to.
Therefore, be necessary to provide a kind of AWB mechanism high saturation influence of color and that conversion has capability of fast response to light emitting source of eliminating.
Summary of the invention
The object of the present invention is to provide a kind of AWB mechanism that has of eliminating high saturation color (strong color) influence to light emitting source conversion capability of fast response.
On the one hand, the invention provides a kind of auto white balance method, it may further comprise the steps:
(a) have in the color space of maximum pixels the predefine white portion through identification and confirm light emitting source;
(b) calculate R mean value, G mean value and the B mean value of this pixel;
(c) on above-mentioned R mean value, G mean value and B mean value basis, confirm the gain adjustment.
Wherein, the pixel of calculating R, G, B mean value can be white pixel.
The inventive method can further comprise the step of the G/R ratio and the G/B ratio of calculating pixel; And the G/R ratio of in the color space, drawing this pixel is to G/B ratio figure; With the predefine white portion that has this pixel of maximum quantity in definite this color space, it can represent to obtain the light emitting source of image.
Above-mentioned R mean value, G mean value and B mean value are to add up to try to achieve through R, G, B value to selected pixel, and can adjust yield value according to R, G, B mean value, to reach white balance.
On the other hand, the present invention also provides a kind of AWB device, and it comprises:
(a) module is selected in the zone that is used for the color space predefine white portion of definite pixel;
(b) R of the above-mentioned pixel of storage, G, B value are so that the accumulative total module that averages; And
(c) confirm the yield value chosen module that gain is adjusted.
Wherein, the zone selects module to calculate the G/R ratio and the G/B ratio of said pixel; The yield value chosen module is gain adjustment and R mean value, G mean value and the B mean value of calculating pixel of chrominance channel.In addition, zone selection module also predefine white portion is analyzed, and has the predefine white portion maximum quantity pixel, that can represent light emitting source to identify.
Below in conjunction with accompanying drawing and embodiment the present invention is done further explanation.
Description of drawings
Fig. 1 is the sketch map of the image-taking system of auto white balance method of the present invention and device thereof.
Fig. 2 is the sketch map that has the color management system of AWB.
Fig. 3 is the diagram with color space of different predefine white portions, and this color space comprises to daylight, cold white fluorescent and the dissimilar light sources of A/U30 light and predefined white portion.
Fig. 4 is the colour chart that the present invention is used for defining color space white portion.
Fig. 5 is the flow chart that the present invention is used for the method for predefine color space white portion.
Embodiment
In the explanation below,, understand many details of the present invention through description to the specific embodiment of the invention.But the those of skill in the art in affiliated field can recognize, still can embodiment of the present invention under the one or more situation in not having these details, and perhaps adopting also can embodiment of the present invention under the situation of other method, element etc.In addition, in order clearly to describe various embodiment of the present invention, thereby well-known structure, material or operation do not illustrated or describe in detail.
In specification of the present invention, be meant when mentioning " embodiment " or " a certain embodiment " that the described special characteristic of this embodiment, structure or characteristic comprise in one embodiment of the invention at least.Thereby " in one embodiment " or " in a certain embodiment " that occur in each place of specification might not refer to and all belong to same embodiment; And specific characteristic, structure or characteristic possibly be attached in one or more specific embodiments with suitable manner.
In AWB (AWB) method, analyze the image that obtains, to confirm its light emitting source, derivation reaches the necessary amount of gain adjustment of white balance then.The pixel of this AWB mechanism checking image is to obtain the information of image light emitting source.It also confirms the gain adjustment that the image white balance is required, and the white pixel in the image then comprises the information that is used for confirming the white balance setting.
This AWB mechanism adopts a color space, and this color space includes two or more with regard to different light emitting sources and predefined white portion.Predefined white portion does well in the space by the characteristic between the shared territorial sky of the white pixel of light emitting source, and in other words, this predefine white portion is the zone that all white pixel all can be found in the specific light emitting source in the color space.Therefore, this predefine white portion of location white pixel can disclose the light emitting source relevant with this pixel.Have the color space, can be used as the template of the light emitting source of confirming white pixel corresponding to the predefine white portion of different light emitting sources, separation.
This AWB mechanism also relies on this color space to select the white pixel of image.The rgb value of white pixel is used to determine whether need adjust the gain of red, green, blue channel, thereby makes image reach balance in vain.
Green/red (G/R) ratio of AWB calculating pixel and green/blue (G/B) ratio.AWB is plotted in G/R and G/B ratio on the color space, and this ratio can provide a point on this color space.If this pixel is a white pixel, this point of being set up by G/R and G/B ratio will drop in one of this predefine white portion.This analysis can be discerned whether white pixel of this pixel, and can discern the predefine white portion relevant with this white pixel, and this can provide the information of light emitting source aspect.The AWB system can carry out this analysis through the G/R and the G/B ratio of the every bit in the storing predetermined adopted white portion in operation table or matrix.
When the white pixel of AWB recognition image, the rgb value of this pixel can be stored, and has all been analyzed until all pixels.After all rgb values were collected, the RGB mean value of all white pixel calculated in this AWB mechanism.For raising the efficiency, can select one group of white pixel (as the whole the 3rd or the Sibai color pixel) be used for calculating mean value.Calculate R mean value, G mean value and the B mean value of white pixel; Then; AWB mechanism is R mean value and G mean value, comparison B mean value and G mean value relatively, the G gain adjustment of the R of R channel gain adjustment, G channel when reaching white balance with decision, and the B of B channel gain adjustment.
The imageing sensor of AWB system continues sequentially to obtain image, and AWB carries out white balance on each image that obtains.For the current image calculation of obtaining goes out the white balance setting, be applied in then in one image that obtains of back.This method is carried out white balance to each input picture constantly, whether changes with definite light emitting source, and the adjustment that whether need gain.
Fig. 1 is the image acquiring device sketch map among the present invention.Color processing module 102 receives the input pixel in order, makes the multirow track access at one time of image.The pixel of input is utilized the image of doing subsequently and shows.The color processing module 102 same AWBs of carrying out.
The pixel of AWB module 104 assessment inputs reaches the required gain adjustment quantity of each color channel of white balance to confirm as.Under different light emitting sources, the intensity of each rgb color is significantly different.When light emitting source is daylight (just image is in daylight, to obtain), this image can have bigger blue light ingredient influence.Similarly, when light emitting source was incandescence, the ruddiness influence in the image will be bigger, and was opposite with the same image that under daylight, obtains.AWB is to accomplish through the gain adjustment (if necessary) of confirming the red, green, blue channel, in dissimilar light sources, presents white with the white target of guaranteeing image.
, rgb value just obtained white balance when equating.Gain module 106 is the red value (if necessary) in the white balance adjustment red channel.Similarly, the green value (if necessary) in the green chrominance channel of gain module 108 adjustment, the blue valve (if necessary) in the gain module 110 adjustment blue color channels.
Iatron 112 is preserved image, will watch or real-time display image until the user.For example, the camera arrangement of real-time mode cannot be stored entire image, but can serial the pixel of image be transferred in computer or other display system.
Fig. 2 is to be an embodiment sketch map of the chrominance channel color management system that carries out AWB.If white balance needs, gain module 202 provides relevant gain adjustment for this chrominance channel.
Gamma 204 control total brightness and the accurate color renderings of image.If image is not proofreaied and correct gamma, it can seem white partially or dark partially.The total amount of gamma correction has influence on the lightness of image and the ratio of redgreenblue.The brightness of display system before the non-linear relation of gamma 204 compensation pixel values and image show.
Color is handled delegation of module delegation and is received the input pixel in order.The one-row pixels input sequence be blue, green ..., next line pixel input sequence is green, red, green, red ....Total number of pixels includes indigo plant, green row and green, red row alternately in entire image, and wherein green accounts for 50%, and red 25%, blue 25%.Color interpolation 206 is confirmed these two damaged values of color of each pixel.Interpolation algorithm has several kinds, like arest neighbors interpolation algorithm, linear interpolation algorithm, cube interpolation algorithm and cube spline interpolation algorithm.The output valve of this color interpolation 206 be data line RGB, RGB, RGB ....
Gamma calibration and analog gain are to be used for display system.Therefore, revised gamma and adjustment gain if be input to the data of AWB, they must reverse so.Gamma function and analog gain can influence the position and the profile thereof of white portion.This white point location is under standard gain setting and non-gamma transfer function, to calibrate.Go gamma 208 to be used for cancelling the influence of gamma calibration, go to gain 210 be used for eliminating the analog gain that is applied to R, G, B channel influence.
Green/red the ratio (G/R) and the green/blue ratio (G/B) of module 212 calculating pixels is selected in the zone.The G/R of each pixel and G/B constitute a point that is plotted on the color space, if this point drops in one of predefine white portion on the color space, then this pixel is a white pixel.For example, a white pixel that drops on daylight predefine white portion can have necessary G/R and G/B value in daylight predefine white portion.
The result that the pixel of R=100, G=105, B=112 calculates is G/R=(105/100) * 128=134.5, and G/B=(105/112) * 128=120, these ratios constitute an interior point of predefine white portion that falls into CWF.Therefore, these ratios have shown that this pixel is a white pixel.On the contrary, if R=225, G=10, B=10, G/R=(10/255) * 128=5 so, G/B=(10/255) * 128=5, it constitutes one and drops on the outer point of any predefine white portion, and this pixel then can not be a white pixel.If these rgb values are used to calculate the white balance setting, can make the realistic colour bias distortion of other pixel and cause their blue partially or green partially.
Select module 212 when the zone and accomplish the analysis of all pixels of image, then it confirms the light emitting source of image through the quantity of calculating the white pixel point in each predefine white portion.Predefine white portion with maximum white pixel points shows the light emitting source of image.For example, if daylight predefine white portion includes more white pixel point compared with the white portion of cold white fluorescent and A/U30 light, the light emitting source of the image that obtains so is a daylight.If the white pixel point that cold white fluorescent white portion has is maximum, so cold white fluorescent is exactly a light emitting source.Likewise, if the white pixel point that A/U30 light has is maximum, light emitting source is exactly incandescence/common office lighting so.
Mean value accumulative total module 214 stores all white pixel rgb values, selects module 212 to analyze all pixels of image until the zone.
Yield value chosen module 216 is calculated one, some or all red mean value, green mean value and the blue average values of the white pixel of light emitting sources.This this redness of yield value chosen module 216 usefulness, green and blue average values confirm whether white balance need carry out the color gain adjustment.
In another embodiment of the present invention, this color management system provides the AWB control loop outer gamma and gain function.For example, gamma can be carried out at Y-channel, and perhaps gain can be used behind color interpolation.If gamma and gain function are positioned the unlike signal passage, just need go gamma in the system and remove gain function.
Fig. 3 is the diagram of the color space with predefine white portion of daylight 302, cold white fluorescent 304 and A/U30 light 306.Although shown in Figure 3 is the color space of three predefine white portions, the color space among the present invention also can have two or more predefine white portions.In addition, Fig. 3 demonstrates the predefine white portion of A type light emitting source (incandescence) and U30 light (common office lighting) combination.The color space can have the predefine white portion that A type light emitting source and U30 light separate separately, and each light emitting source type all has its distinctive predefine white portion like this.
Fig. 4 comprises the colour chart (color chart) of 24 different color blocks.Colour chart is used for being different light emitting source predefine white portions in the color space.Colour chart is not limited to 24 color lumps; And can be included as the necessary any amount of color lump of definition white portion; As long as each color lump comprises a kind of known look; Wherein 6 color lumps are respectively white blocks, grey blocks 1, grey blocks 2, grey blocks 3, grey blocks 4 and black, the gray scale that grey 1 to grey 4 is different.
Fig. 5 is the flow chart that the present invention is used for the method 500 of predefine color space white portion.In the color space, need analyze the colour chart under this light emitting source type to target light emitting source type definition white portion.For example, the white portion of definition daylight comprises the colour chart of analyzing under the daylight.White portion calculates the G/R ratio and the G/B ratio of the color lump under target light emitting source (like daylight, cold white fluorescent, incandescence, U30 light or the like) from step 502 beginning in the definition color space.Then, step 504 is plotted in the G/R ratio and the G/B ratio of this color lump on the color space.Then, to all color lump repeating steps 502 and step 504 in the colour chart.By the G/R ratio and the defined zone of G/B ratio of white blocks, grey blocks 1, grey blocks 2, grey blocks 3 and grey blocks 4 color lumps, this zone is the predefine white portion of target light emitting source in the definite color space of step 508.To required each the light emitting source repeating step 502 of the color space to step 508.
The advantage of this method is any influence that this technology can be eliminated the high saturation color.In addition, but the variation of light emitting source in this technology fast detecting image, and be provided with this variation of response fast through moving to the color gain that is fit to this light emitting source.Yet when being under the constant conventional environment of light emitting source, the execution of in selected white portion, measuring based on the color gain adjustment of white pixel mean value is just so not fast.This automatic technique support had both responded fast the variation of light emitting source the stability under the normal operational conditions also was provided simultaneously.
Above declarative description only be optimum implementation of the present invention, any under the insubstantial modifications processing done according to the present invention of field those skilled in the art all fall in the claim scope of the present invention.
Claims (4)
1. method that is AWB at color space predefine white portion, it comprises:
(a) the G/R ratio and the G/B ratio of calculating white blocks and grey blocks;
(b) to each type light emitting source repeating step (a); And
(c), confirm the white portion of each type light emitting source according to the G/R ratio and the G/B ratio of white blocks and grey blocks.
2. the method for claim 1, wherein described method further comprises the use white blocks, has a plurality of grey blocks and the black block of different gray scales, so that be different light emitting source predefine white portions in the color space.
3. method as claimed in claim 2, wherein, to each described grey blocks repeating step (a) and step (b).
4. one kind is the method for AWB predefine white portion in the color space, and it comprises:
(a) under the target light emitting source, adopt the colour chart of a plurality of color lumps comprise white blocks, grey blocks 1, grey blocks 2, grey blocks 3, grey blocks 4 and black block, this colour chart is used for being different light emitting source predefine white portions in the color space;
(b) calculate the G/R ratio and the G/B ratio of each said color lump;
(c) the G/R ratio of on the said color space, drawing each said color lump is to G/B ratio figure;
(d) according to the G/R ratio and the G/B ratio of said white blocks, grey blocks 1, grey blocks 2, grey blocks 3 and grey blocks 4, on the said color space, said target light emitting source is defined said white portion; And
(e) each target light emitting source repeating step (a) is arrived step (d).
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US10/813,635 | 2004-03-30 | ||
| US10/813,635 US7423779B2 (en) | 2004-03-30 | 2004-03-30 | Method and apparatus for automatic white balance |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200510063620.0A Division CN1678081A (en) | 2004-03-30 | 2005-03-28 | Method and apparatus for automatic white balance |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101621705A CN101621705A (en) | 2010-01-06 |
| CN101621705B true CN101621705B (en) | 2012-02-08 |
Family
ID=34912660
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200510063620.0A Pending CN1678081A (en) | 2004-03-30 | 2005-03-28 | Method and apparatus for automatic white balance |
| CN2009101612574A Active CN101621705B (en) | 2004-03-30 | 2005-03-28 | Method and apparatus for automatic white balance |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200510063620.0A Pending CN1678081A (en) | 2004-03-30 | 2005-03-28 | Method and apparatus for automatic white balance |
Country Status (4)
| Country | Link |
|---|---|
| US (7) | US7423779B2 (en) |
| EP (1) | EP1585345A3 (en) |
| CN (2) | CN1678081A (en) |
| TW (1) | TWI259326B (en) |
Families Citing this family (57)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4324502B2 (en) * | 2004-03-29 | 2009-09-02 | 富士フイルム株式会社 | CCD solid-state image sensor and digital camera |
| US7423779B2 (en) * | 2004-03-30 | 2008-09-09 | Omnivision Technologies, Inc. | Method and apparatus for automatic white balance |
| US7349017B2 (en) * | 2004-04-21 | 2008-03-25 | Avago Technologies Ecbu Ip Pte Ltd | Color sensor circuit with integrated programmable gain selection |
| US7728880B2 (en) * | 2004-06-25 | 2010-06-01 | Qualcomm Incorporated | Automatic white balance method and apparatus |
| US20060268119A1 (en) * | 2005-05-27 | 2006-11-30 | Akiyoshi Sugawara | Television camera, television camera system and image pickup control method |
| US7848569B2 (en) * | 2005-12-14 | 2010-12-07 | Micron Technology, Inc. | Method and apparatus providing automatic color balancing for digital imaging systems |
| US20070153304A1 (en) * | 2005-12-29 | 2007-07-05 | Micron Technologoy, Inc. | Method and apparatus for gray value identification for white balance |
| JP4815267B2 (en) * | 2006-05-11 | 2011-11-16 | オリンパスイメージング株式会社 | White balance control method, imaging apparatus, and white balance control program |
| TWI377847B (en) | 2006-12-27 | 2012-11-21 | Quanta Comp Inc | Method and apparatus for image processing |
| DE602007006900D1 (en) | 2007-01-25 | 2010-07-15 | Research In Motion Ltd | Method and device for controlling a camera module to compensate for the light intensity of a white LED |
| US7710466B2 (en) | 2007-01-25 | 2010-05-04 | Research In Motion Limited | Method and apparatus for controlling a camera module to compensate for the color spectrum of a white LED |
| US7825958B2 (en) | 2007-01-25 | 2010-11-02 | Research In Motion Limited | Method and apparatus for controlling a camera module to compensate for the light level of a white LED |
| WO2008097622A1 (en) * | 2007-02-08 | 2008-08-14 | Nikon Corporation | Automatic illuminant estimation and white balance adjustment |
| US7974487B2 (en) * | 2007-04-17 | 2011-07-05 | Kabushiki Kaisha Toshiba | System and method for image white balance adjustment |
| CN101370151B (en) * | 2008-09-18 | 2011-12-28 | 北京中星微电子有限公司 | Automatic white balance adjustment method |
| KR20100035384A (en) * | 2008-09-26 | 2010-04-05 | 삼성디지털이미징 주식회사 | Method of controlling digital image signal processing apparatus and digital image signal processing apparatus of operating the same |
| US8243162B2 (en) * | 2008-12-11 | 2012-08-14 | Omnivision Technologies, Inc. | Automatic white balancing using meter sensors |
| KR100977055B1 (en) * | 2009-02-20 | 2010-08-19 | 주식회사 코아로직 | Device and method for adjusting auto white balance(awb) and image processing apparatus comprising the same device |
| KR101030393B1 (en) | 2009-02-20 | 2011-04-20 | 인하대학교 산학협력단 | Apparatus and method for adjusting white balance of digital image |
| US8462227B2 (en) * | 2009-04-24 | 2013-06-11 | Ati Technologies Ulc | Digital camera module white balance calibration method and apparatus using only single illumination source data |
| CN101873504B (en) * | 2009-04-27 | 2012-06-27 | 倚强科技股份有限公司 | Method for correcting automatic white balance |
| US20100321521A1 (en) * | 2009-06-23 | 2010-12-23 | Chung-Hao Chang | Method of automatic white-balance calibration |
| CN102044225B (en) * | 2009-10-13 | 2013-12-18 | 群康科技(深圳)有限公司 | Liquid crystal display and driving method thereof |
| US8339471B2 (en) | 2009-12-31 | 2012-12-25 | DigitalOptics Corporation Europe Limited | Auto white balance algorithm using RGB product measure |
| US9251312B2 (en) * | 2010-02-23 | 2016-02-02 | Siemens Aktiengesellschaft | Application platform |
| US8384734B2 (en) | 2010-04-06 | 2013-02-26 | Dell Products, Lp | System and method for user selectable white level |
| CN102300100B (en) * | 2010-06-28 | 2015-03-04 | 比亚迪股份有限公司 | White balance control device and method |
| CN102572211B (en) * | 2010-12-20 | 2015-11-25 | 韩华泰科株式会社 | Estimate the method and apparatus of light source |
| JP5206782B2 (en) * | 2010-12-28 | 2013-06-12 | ブラザー工業株式会社 | Image processing apparatus, image processing method, and program |
| CN102095500B (en) * | 2011-01-24 | 2012-09-19 | 杭州电子科技大学 | Circuit for detecting chrominance during gray fabric dyeing |
| JP5846356B2 (en) * | 2011-07-12 | 2016-01-20 | 富士ゼロックス株式会社 | White adjustment device and white adjustment program |
| CN102957918B (en) * | 2011-08-31 | 2014-12-31 | 联咏科技股份有限公司 | White balance method for displayed image |
| JP5921983B2 (en) * | 2012-08-03 | 2016-05-24 | クラリオン株式会社 | In-vehicle imaging device |
| DE102013001644A1 (en) * | 2013-01-31 | 2014-07-31 | Connaught Electronics Ltd. | Method for white balance of an image representation and camera system for a motor vehicle |
| US8854709B1 (en) | 2013-05-08 | 2014-10-07 | Omnivision Technologies, Inc. | Automatic white balance based on dynamic mapping |
| TWI523542B (en) * | 2014-02-24 | 2016-02-21 | 宏碁股份有限公司 | White balance compensation method and electronic apparatus using the same |
| KR102170686B1 (en) * | 2014-03-18 | 2020-10-27 | 한화테크윈 주식회사 | Apparatus and method for interpolating white balance |
| CN106134189B (en) * | 2014-03-31 | 2019-03-01 | 富士胶片株式会社 | Image processing apparatus, photographic device, image processing method and program |
| CN103929632B (en) * | 2014-04-15 | 2016-02-03 | 浙江宇视科技有限公司 | A kind of method for correcting automatic white balance and device |
| CN104469334B (en) * | 2014-12-10 | 2016-08-17 | 深圳市理邦精密仪器股份有限公司 | A kind of Medical Devices obtain the processing method and processing device of view data |
| US9696470B2 (en) | 2015-03-04 | 2017-07-04 | Microsoft Technology Licensing, Llc | Sensing images and light sources via visible light filters |
| US20160381253A1 (en) * | 2015-06-26 | 2016-12-29 | Mediatek Inc. | Image processor comprising local color processing circuits and associated image processing method for adjusting blue light strength of image |
| CN105611184A (en) * | 2015-12-18 | 2016-05-25 | 珠海全志科技股份有限公司 | White balance debugging method and debugging system of digital video device |
| TWI580274B (en) * | 2016-01-14 | 2017-04-21 | 瑞昱半導體股份有限公司 | Method for generating a pixel filtering boundary for use in auto white balance calibration |
| CN105812762A (en) * | 2016-03-23 | 2016-07-27 | 武汉鸿瑞达信息技术有限公司 | Automatic white balance method for processing image color cast |
| CN105915875B (en) * | 2016-06-01 | 2017-10-13 | 广东欧珀移动通信有限公司 | White balance calibration method and apparatus and its calibration parameter preparation method and device |
| CN107105211A (en) * | 2017-03-22 | 2017-08-29 | 建荣半导体（深圳）有限公司 | A kind of white-balance correction method, device and electronic equipment |
| CN107959840A (en) * | 2017-12-07 | 2018-04-24 | 广东欧珀移动通信有限公司 | Image processing method, device, computer-readable recording medium and computer equipment |
| CN107872663B (en) | 2017-12-25 | 2019-05-24 | Oppo广东移动通信有限公司 | Image processing method and device, computer readable storage medium and computer equipment |
| CN108337496B (en) * | 2018-04-25 | 2020-01-31 | 普联技术有限公司 | White balance processing method, processing device, processing equipment and storage medium |
| CN108960382B (en) * | 2018-05-07 | 2021-10-01 | 广东数相智能科技有限公司 | Color bar code and color calibration method thereof |
| CN109242792B (en) * | 2018-08-23 | 2020-11-17 | 广东数相智能科技有限公司 | White balance correction method based on white object |
| CN110223650B (en) * | 2019-05-29 | 2021-06-04 | 惠科股份有限公司 | White balance parameter generation method for four-color pixel and display device |
| CN111787299B (en) * | 2019-10-18 | 2022-06-14 | 西安宇视信息科技有限公司 | Method, device, medium and electronic equipment for determining special light source |
| CN111010557B (en) * | 2019-12-26 | 2021-09-24 | 锐芯微电子股份有限公司 | White point range determining method, white balance correcting method and device, and storage medium |
| CN113766203B (en) * | 2020-06-03 | 2023-02-07 | 杭州海康威视数字技术股份有限公司 | Image white balance processing method |
| CN112601063A (en) * | 2020-12-07 | 2021-04-02 | 深圳市福日中诺电子科技有限公司 | Mixed color temperature white balance method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1108847A (en) * | 1993-12-30 | 1995-09-20 | 株式会社金星社 | White balancing apparatus |
| JP2000224608A (en) * | 1999-02-02 | 2000-08-11 | Fuji Photo Film Co Ltd | Automatic white balance control method |
| JP2000299876A (en) * | 1999-04-12 | 2000-10-24 | Fuji Photo Film Co Ltd | Digital camera and method for controlling automatic white balance |
| JP2003163944A (en) * | 2001-11-28 | 2003-06-06 | Fuji Photo Film Co Ltd | White balance-control method and digital camera |
| JP2004007181A (en) * | 2002-05-31 | 2004-01-08 | Fuji Photo Film Co Ltd | White balance adjustment method and adjusting program therefor |
| JP2004064468A (en) * | 2002-07-30 | 2004-02-26 | Fuji Photo Film Co Ltd | Image pickup device |
Family Cites Families (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5198890A (en) | 1989-03-30 | 1993-03-30 | Canon Kabushiki Kaisha | White balance correcting device for an image sensing |
| CA2043303C (en) * | 1990-06-01 | 1996-09-03 | Daisuke Kitayama | Portable chiller |
| US6249317B1 (en) | 1990-08-01 | 2001-06-19 | Minolta Co., Ltd. | Automatic exposure control apparatus |
| US6072526A (en) | 1990-10-15 | 2000-06-06 | Minolta Co., Ltd. | Image sensing device that can correct colors corresponding to skin in a video signal |
| US5361093A (en) | 1991-09-02 | 1994-11-01 | Matsushita Electric Industrial Co., Ltd. | Automatic white balance setting device |
| US6201893B1 (en) * | 1994-09-28 | 2001-03-13 | Canon Kabushiki Kaisha | Image reproduction apparatus and method |
| US6215892B1 (en) | 1995-11-30 | 2001-04-10 | Chromavision Medical Systems, Inc. | Method and apparatus for automated image analysis of biological specimens |
| US6069972A (en) * | 1998-06-02 | 2000-05-30 | Intel Corporation | Global white point detection and white balance for color images |
| JP2000324353A (en) * | 1999-03-11 | 2000-11-24 | Fuji Photo Film Co Ltd | Image processor, method therefor and recording medium |
| JP3250558B2 (en) * | 2000-02-28 | 2002-01-28 | 株式会社豊田中央研究所 | Mechanical quantity sensor material |
| US20010030694A1 (en) | 2000-03-15 | 2001-10-18 | Asahi Kogaku Kogyo Kabushiki Kaisha | Digital still camera performing white balance adjustment |
| JP3738652B2 (en) * | 2000-03-24 | 2006-01-25 | コニカミノルタフォトイメージング株式会社 | Digital camera |
| US6870567B2 (en) | 2000-12-22 | 2005-03-22 | Eastman Kodak Company | Camera having user interface with verification display and color cast indicator |
| US7084907B2 (en) | 2001-01-15 | 2006-08-01 | Nikon Corporation | Image-capturing device |
| US7184080B2 (en) | 2001-06-25 | 2007-02-27 | Texas Instruments Incorporated | Automatic white balancing via illuminant scoring |
| US7463287B2 (en) | 2002-07-29 | 2008-12-09 | Fujifilm Corporation | Solid-state image pick-up device and image pick-up apparatus capable of distinguishing a photographing light source type |
| US7154257B2 (en) * | 2002-09-30 | 2006-12-26 | Intel Corporation | Universal automated circuit board tester |
| US7162078B2 (en) * | 2002-12-20 | 2007-01-09 | Fast Link Communication Corp. | Automatic white balance correction method for image capturing apparatus |
| US7486313B2 (en) * | 2003-01-17 | 2009-02-03 | Biomorphic Vlsi, Inc. | System and method for automatic exposure control and white balancing for CMOS sensors |
| JP4366966B2 (en) | 2003-03-13 | 2009-11-18 | 株式会社ニコン | White balance adjustment circuit |
| JP3967690B2 (en) * | 2003-03-25 | 2007-08-29 | 富士フイルム株式会社 | Imaging device |
| US7428009B2 (en) | 2004-02-19 | 2008-09-23 | Hewlett-Packard Development Company, L.P. | Manual white balance using arbitrary surface |
| US7423779B2 (en) | 2004-03-30 | 2008-09-09 | Omnivision Technologies, Inc. | Method and apparatus for automatic white balance |
| JP4329125B2 (en) | 2005-02-09 | 2009-09-09 | 富士フイルム株式会社 | White balance control method, white balance control device, and imaging device |
-
2004
- 2004-03-30 US US10/813,635 patent/US7423779B2/en active Active
-
2005
- 2005-02-16 TW TW094104559A patent/TWI259326B/en active
- 2005-02-23 EP EP05251045A patent/EP1585345A3/en not_active Withdrawn
- 2005-03-28 CN CN200510063620.0A patent/CN1678081A/en active Pending
- 2005-03-28 CN CN2009101612574A patent/CN101621705B/en active Active
-
2008
- 2008-02-26 US US12/037,835 patent/US7868930B2/en active Active
- 2008-02-26 US US12/037,841 patent/US20080143847A1/en not_active Abandoned
- 2008-02-26 US US12/037,844 patent/US7916347B2/en active Active
- 2008-02-26 US US12/037,846 patent/US7973968B2/en active Active
- 2008-02-26 US US12/037,849 patent/US7872672B2/en active Active
- 2008-02-26 US US12/037,855 patent/US7940310B2/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1108847A (en) * | 1993-12-30 | 1995-09-20 | 株式会社金星社 | White balancing apparatus |
| JP2000224608A (en) * | 1999-02-02 | 2000-08-11 | Fuji Photo Film Co Ltd | Automatic white balance control method |
| JP2000299876A (en) * | 1999-04-12 | 2000-10-24 | Fuji Photo Film Co Ltd | Digital camera and method for controlling automatic white balance |
| JP2003163944A (en) * | 2001-11-28 | 2003-06-06 | Fuji Photo Film Co Ltd | White balance-control method and digital camera |
| JP2004007181A (en) * | 2002-05-31 | 2004-01-08 | Fuji Photo Film Co Ltd | White balance adjustment method and adjusting program therefor |
| JP2004064468A (en) * | 2002-07-30 | 2004-02-26 | Fuji Photo Film Co Ltd | Image pickup device |
Also Published As
| Publication number | Publication date |
|---|---|
| US20080143846A1 (en) | 2008-06-19 |
| US7423779B2 (en) | 2008-09-09 |
| US20050219379A1 (en) | 2005-10-06 |
| US20080143847A1 (en) | 2008-06-19 |
| US7872672B2 (en) | 2011-01-18 |
| EP1585345A2 (en) | 2005-10-12 |
| CN101621705A (en) | 2010-01-06 |
| US7868930B2 (en) | 2011-01-11 |
| US20080143848A1 (en) | 2008-06-19 |
| US7940310B2 (en) | 2011-05-10 |
| TW200532363A (en) | 2005-10-01 |
| US7973968B2 (en) | 2011-07-05 |
| CN1678081A (en) | 2005-10-05 |
| US7916347B2 (en) | 2011-03-29 |
| US20080143851A1 (en) | 2008-06-19 |
| EP1585345A3 (en) | 2008-05-14 |
| US20080143849A1 (en) | 2008-06-19 |
| US20080143850A1 (en) | 2008-06-19 |
| TWI259326B (en) | 2006-08-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101621705B (en) | Method and apparatus for automatic white balance | |
| US8208037B2 (en) | Digital camera and gain computation method | |
| KR100916484B1 (en) | Method for auto white balance | |
| CN101529889A (en) | Automatic white balance statistics collection | |
| US20030063197A1 (en) | Illumination light color estimating method of obtaining white balance and image sensing apparatus | |
| CN114866754B (en) | Automatic white balance method and device, computer readable storage medium and electronic equipment | |
| US9019392B1 (en) | Image capture system and method for gathering statistics for captured image data | |
| JP2008153768A (en) | Imaging apparatus, and white balance processor | |
| KR102285756B1 (en) | Electronic system and image processing method | |
| KR100967091B1 (en) | Method for adjusting white balance of digital image device | |
| CN101957988A (en) | Method and device for obtaining probability distribution of image grey spots and white balance method and device | |
| US20080079816A1 (en) | Color matching method, and image capturing device and electronic apparatus using the same | |
| US7146040B2 (en) | Automatic white balance technique | |
| US6798449B2 (en) | Automatic white-balance correction for digital camera | |
| JP3821729B2 (en) | Digital camera | |
| JPH05292533A (en) | Automatic white balance device | |
| JPH11308634A (en) | White balance controller | |
| US20080079749A1 (en) | White balance method for image processing | |
| US9113121B2 (en) | Method for white balance adjustment of images | |
| CN101019131B (en) | System and method for effectively performing an image data transformation procedure | |
| Garud et al. | A fast color constancy scheme for automobile video cameras | |
| CN114866755B (en) | Automatic white balance method and device, computer storage medium and electronic equipment | |
| CN115002327B (en) | Camera module detection system and method | |
| US20230025690A1 (en) | Parameter adjusting method and projector | |
| CN115170407A (en) | Image processing method, image processing device, electronic equipment and computer readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder | ||
| CP01 | Change in the name or title of a patent holder |
Address after: Sunnyvale, California in the United States Patentee after: OmniVision Technologies, Inc. Address before: Sunnyvale, California in the United States Patentee before: Haowei Tech Co., Ltd. |